Content-Based Music Retrieval in P2P Network

Music files constitute a large portion of the data exchanged in Peer-to-Peer (P2P) networks. However, existing music search systems are limited to title-based search methods, which require us to know exact metadata information such as filenames or artists. In this paper we present a content-based music search system which supports music search only by melody in P2P network. For this we first select a super-peer based P2P network with a hierarchical structure. Then, based on this framework, we efficiently cluster and index all the melodies or peers in the P2P network by indicating the motif representing the music´s melodies extracted from MIDI (Musical Instrument Digital Interface) files, as one point (.) in a twodimensional space. Finally, we test our system by producing a small P2P server and client, and simulate a large scale P2P network. The proposed system shows efficiency and scalability even with a large scale network.